3 Artificial Intelligence Tools That Are Digitizing Fashion for Customers and Designers


It is the year 2021, 5G networks have been deployed, and artificial intelligence (AI) is gradually making its way into our everyday lives. A.I. is no longer something that just exists in fiction films; it is now also a tool that fashion designers may use to better how they work. The fashion industry is looking to artificial intelligence as a solution to the challenges posed by rapidly shifting consumer preferences and the pressure to deliver products that are high in both quality and convenience. The application of artificial intelligence to social media in particular has created a gold mine of global data that reveals unlimited opportunities for fashion firms as well as customers to optimise product choice, service customization, error reduction, fashion trend prediction, and more.

In this blog, we will examine how artificial intelligence (A.I.) is already transforming the fashion industry and how it will continue to do so in the future. It will result in less working time and workload for new designers, in addition to assisting up-and-coming designers in moving to the top of their game. There are no limits when it comes to AI. They will still have an impact on how customers do their shopping, despite the social distance and pandemics. A.I., as a nascent fashion designer with limited resources, will be a big helper in bringing fashion design to customers in a manner that is more direct and efficient than ever before.

The three tools for fashion designers that are described in the following paragraphs highlight how fashion designers can utilise artificial intelligence to drive design, trend forecasting, and how consumers perceive and purchase fashion products.

A Tool That Makes Staying on Top of Fashion Trends and Managing Your Fashion Business Easier

Deep learning, computer vision, and various prediction algorithms are put to use on the Stylumia platform, which is a business-to-business (B2B) marketplace that supports the growth of sustainable fashion entrepreneurs. We at Stylumia think that with the right data and technology, people and businesses in the fashion and lifestyle retail industry have the ability to take on difficult challenges and make a difference in the world. This tool forecasts customer demand for upcoming fashion trends as well as future upcoming trends. It also helps designers improve their inventory management and make better decisions that have an impact on their businesses.

In the process of demand forecasting, the data from enterprise resource planning (ERP) systems that are related with behavioural knowledge frequently fail to take advantage of what the data reveals. Stylumia is able to provide demand estimates by analysing the online behaviour of customers. It gathers information from a wide variety of sources, such as crawling websites and analysing data from online fashion shows. Using this data, Stylumia is able to find pricing and demand trends down to specific channels and tracks, regardless of whether the niche market or the mainstream market is being considered. Stylumia, in contrast to more conventional approaches to market research, delivers timely and precise data that is capable of digitally connecting to virtually any data source without the need for any hesitancy. The data is subsequently processed by the proprietary algorithms, which produce insights and predictions. Even consumers’ experiences with online purchasing can be improved by the application’s artificial intelligence elements. This is accomplished through enhancing the human intelligence of those working in retail fashion and leisure.

In the process of demand forecasting, the data from enterprise resource planning (ERP) systems that are related with behavioural knowledge frequently fail to take advantage of what the data reveals. Stylumia is able to provide demand estimates by analysing the online behaviour of customers. It gathers information from a wide variety of sources, such as crawling websites and analysing data from online fashion shows. Using this data, Stylumia is able to find pricing and demand trends down to specific channels and tracks, regardless of whether the niche market or the mainstream market is being considered. Stylumia, in contrast to more conventional approaches to market research, delivers timely and precise data that is capable of digitally connecting to virtually any data source without the need for any hesitancy. The data is subsequently processed by the proprietary algorithms, which produce insights and predictions. Even consumers’ experiences with online purchasing can be improved by the application’s artificial intelligence elements. This is accomplished through enhancing the human intelligence of those working in retail fashion and leisure.

The A.I.-Based Service Comprised of Algorithms That Help Customers Feel More Satisfied With Their Shopping Experience

A personal styling business known as Stitch Fix helps customers select appropriate clothing styles based on their preferences. This distributor of individualised fashion delivers to the doors of customers around the country a curated recommendation of products that are offered at reasonable prices. Stitch Fix is able to make suggestions that are well matched to its clients because to algorithms that are based on artificial intelligence. These algorithms detect trends and designs by combining the colours, patterns, and materials that consumers most enjoy receiving in their packages. Stitch Fix is able to provide customers with an experience that is completely individualised to their preferences.

The goal of the service provided by Stitch Fix is to help customers save time while simultaneously enhancing their personal style and making them look beautiful. Stitch Fix is a company that was started by Katrina Lake with the intention of combining the human element of personal styling with high-quality clothes and proprietary algorithms. In 2011, she was a student at Harvard when she mailed the first order for Stitch Fix from the apartment she was renting in Cambridge. Since then, the company has grown to the point that it now provides services to millions of men and women all throughout the country.

Because its service is built on a subscription model and its business model is centred on customer feedback, Stitch Fix has amassed vast troves of customer information. According to the company, artificial intelligence was used in the design process of each customer’s style, and the company employs more than 120 people to oversee the machine learning algorithms that guide everything from client styling to logistics and inventory management. In addition, the company claims that artificial intelligence was used in the design process of each customer’s style.

Using Artificial Intelligence to Digitize Classic Haute Couture

With the use of machine learning, the Synflex team is reimagining the fashion industry from the ground up. Their goods, which they call “Algorithmic Couture,” have the intention of democratising the process of customising haute couture garments by reinvigorating the personalization aspect of the digital design process. This service makes use of machine learning algorithms to create the optimal modular patterned clothing. Modular patterned clothing is clothing that has detachable pieces that the wearer can add or leave off to alter the clothing style, fit, or construction. This allows the customer to have complete control over the construction, fabric, and colour of their outfits. Consumers benefit from modular design because it makes it easier to modify clothing items to reflect shifts in style that occur over the course of a trend period. Not only does it help to change the style, but the reassemblies also allow for the simple removal and replacement of any broken sections of the clothes, so eliminating the need to acquire an entirely new outfit.

At its core, Synflex’s initiative is based on three primary ideas: first, sustainability, which the company claims to achieve through a zero-waste fashion design process; second, digitising the traditional haute couture processes into an automated digital fabrication production system, which the company accomplishes by transferring classic haute couture techniques into parameters for an automated digital fabrication production system; and third, personalization, which the company provides to customers through the use of bo.d.i., which stands for “build your own image.”

The machine learning algorithms, body proportions, and variable design factors used by Synflex are used to produce the optimal fashion patterns used by the company. The most effective methods for cutting patterns consist of rectangles and straight lines. This enables genetic algorithms to be used for optimising the placement of the cloth. While this is accomplished by Synflex using technology developed in-house, it can give up-and-coming fashion designers an idea of how they might one day be able to develop proprietary tech software for their brand. This would allow them to expand the realms of possibility beyond the conventional methods of creating clothing.

How Artificial Intelligence Is Changing the Face of Creative Digitalization in the Fashion Industry

As you continue to peruse this blog, give some thought to the possibility of creating or using an innovative technology to support the expansion and development of your fashion brand. It is only natural that as the population of the globe rises, the demand for clothing and the amount of garbage generated by fashion consumption will continue to rise to unprecedented levels. The linear method that is built on mass manufacturing and consumption can now alter to create a more sustainable future that tackles fashion cycles more holistically, and this is made possible thanks to growing fashion tech and artificial intelligence technologies like those mentioned above.

By reimagining the process and utilising the Algorithmic Couture tools that are offered by Synflex, a fashion designer can reduce the amount of fabric that is wasted throughout the fashion pattern design process. Emerging fashion designers have the opportunity to build their brand more quickly and better foresee successful trends in both business and design when they collaborate with or use services such as Stylumia. We can realign our incentives to be more in line with sustainable goals if we look into ways that more of the fashion industry’s processes can be digitised. As artificial intelligence “Support” systems continue to advance, companies will be able to make more educated strategic decisions regarding the development of their products, the introduction of new business lines that safeguard their bottom line, and the advancement of any sustainability goals they have as a company.

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